766 research outputs found

    BUSINESS IMPACT ASSESSMENT OF SELF-GROWING ENERGY EFFICIENT SYSTEMS

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    This paper investigates the business impact of two novel mechanisms that increase the energy efficiency of networks, i.e. sensor network decentralisation and system idle time estimation, which have been developed in the CONSERN project. The analysis consists of two distinct but interrelated phases, the objective of which is to combine a techno-economic analysis of actual gains as contained within the technical KPIs of optimisation techniques, with a strategic analysis of factors promoting or hindering the actual introduction of these mechanisms within mobile business ecosystems. In the first phase, the technical gains of the two mechanisms are translated into an estimation of Operational Expenditure (OPEX) savings for a number of typical configurations. Subsequently, a business impact assessment is performed, in which two commercial deployment modes – an operator based and operator independent mode – are outlined. After having drawn up the business ecosystem for these two deployment models, a number of business opportunities and challenges for the two mechanisms in the different deployment modes are identified using the business model framework developed by Ballon, and a scorecard is used to weigh the importance of the various business model parameters against each other. The paper concludes with some recommendations and steps to mitigate disjunctions and improve synergies between the key stakeholders, constituting a sustainable business ecosystem

    Quality-driven resource utilization methods for video streaming in wireless communication networks

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    This research is focused on the optimisation of resource utilisation in wireless mobile networks with the consideration of the users’ experienced quality of video streaming services. The study specifically considers the new generation of mobile communication networks, i.e. 4G-LTE, as the main research context. The background study provides an overview of the main properties of the relevant technologies investigated. These include video streaming protocols and networks, video service quality assessment methods, the infrastructure and related functionalities of LTE, and resource allocation algorithms in mobile communication systems. A mathematical model based on an objective and no-reference quality assessment metric for video streaming, namely Pause Intensity, is developed in this work for the evaluation of the continuity of streaming services. The analytical model is verified by extensive simulation and subjective testing on the joint impairment effects of the pause duration and pause frequency. Various types of the video contents and different levels of the impairments have been used in the process of validation tests. It has been shown that Pause Intensity is closely correlated with the subjective quality measurement in terms of the Mean Opinion Score and this correlation property is content independent. Based on the Pause Intensity metric, an optimised resource allocation approach is proposed for the given user requirements, communication system specifications and network performances. This approach concerns both system efficiency and fairness when establishing appropriate resource allocation algorithms, together with the consideration of the correlation between the required and allocated data rates per user. Pause Intensity plays a key role here, representing the required level of Quality of Experience (QoE) to ensure the best balance between system efficiency and fairness. The 3GPP Long Term Evolution (LTE) system is used as the main application environment where the proposed research framework is examined and the results are compared with existing scheduling methods on the achievable fairness, efficiency and correlation. Adaptive video streaming technologies are also investigated and combined with our initiatives on determining the distribution of QoE performance across the network. The resulting scheduling process is controlled through the prioritization of users by considering their perceived quality for the services received. Meanwhile, a trade-off between fairness and efficiency is maintained through an online adjustment of the scheduler’s parameters. Furthermore, Pause Intensity is applied to act as a regulator to realise the rate adaptation function during the end user’s playback of the adaptive streaming service. The adaptive rates under various channel conditions and the shape of the QoE distribution amongst the users for different scheduling policies have been demonstrated in the context of LTE. Finally, the work for interworking between mobile communication system at the macro-cell level and the different deployments of WiFi technologies throughout the macro-cell is presented. A QoEdriven approach is proposed to analyse the offloading mechanism of the user’s data (e.g. video traffic) while the new rate distribution algorithm reshapes the network capacity across the macrocell. The scheduling policy derived is used to regulate the performance of the resource allocation across the fair-efficient spectrum. The associated offloading mechanism can properly control the number of the users within the coverages of the macro-cell base station and each of the WiFi access points involved. The performance of the non-seamless and user-controlled mobile traffic offloading (through the mobile WiFi devices) has been evaluated and compared with that of the standard operator-controlled WiFi hotspots

    Integration of Internet and Telecommunications- An Architecture for Hybrid Services

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    In this article, we propose an architecture for hybrid services, i.e., services that span many network technologies, such as the Public Switched Telephone Network (PSTN), cellular networks and networks based on the Internet Protocol (IP). These services will play an important role in the future because they leverage on the existing infrastructures, rather than requiring new and sophisticated mechanisms to be deployed. We explore a few issues related to hybrid services and propose a platform, as well as a set of components, to facilitate their creation and deployment. The existing infrastructure is only required to generate specific events when requests for hybrid services are detected. We present the design of a service layer, based on Java, that handles the treatment of these special requests. Our service layer is provided with a set of generic components realized according to the JavaBeans model. We illustrate the strength of our architecture by discussing two hybrid-service examples: a calendar service and a call forwarding service

    An Architecture for the Integration of Internet and Telecommunication Services

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    In this paper, we propose an architecture for hybrid services, i.e., services that span many network technologies, especially the PSTN and the Internet. These services will play an important role in the future, because they leverage on the existing infrastructures, rather than requiring brand-new and sophisticated mechanisms to be deployed. We explore a few issues related to hybrid services and propose a platform, as well as a set of components, to facilitate their creation and deployment. The existing infrastructure is only required to generate specific events when requests for hybrid services are detected. We present the design of s service layer, based on Java, that handles the treatment of these special requests. Our service layer is provided with a set of generic components realized as Java Beans. Hence, we can provide hybrid services without changing the existing infrastructure. We illustrate this strength of our architecture by discussing the call forwarding service

    Cooperative Radio Resource Management for Next Generation Systems

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